Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/lemmaoracle/lemma/cursorrulesgit clone --depth 1 https://github.com/lemmaoracle/lemmaWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00024 | $0.00024 |
| Opus 5 | $0.00012 | $0.00012 |
| Sonnet 5 | $0.00005 | $0.00005 |
| Haiku 4.5 | $0.00002 | $0.00002 |
Grade A, and why
cursorrules scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 2 lines · 24 tokens per session scan A bc97cd8087ba
cursorrules is a cursor rule published in the GitHub repository lemmaoracle/lemma (1 stars, last pushed 3d ago), with no licence file. It adds 24 tokens to every session, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other cursor rules, from other repositories
clean-user-facing-text
Apply text hygiene to natural-language content intended for readers.
system-init
系统启动自检规则 — 问候 → 诊断 → 询问研究方向.
researcher
金融AI学术研究员核心能力与工作流规范.
analyst
金融分析师核心能力与MCP工具使用规范.
paper_writer
学术论文写作助手核心能力与文献检索规范.
agent-host-isolation
Isolation / autopilot host protocol (overrides greet-HITL when FINAIAUTOPILOT).